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Our principal
research question is how to reconcile compile-time and run-time
resource management.
Dealing with
resource constraints (limited registers, time bounds, lack of memory
bandwidth or network bandwidth, congestion, restrictions on parallel
execution, etc.) is a central problem of any effort that develops
a realistic software system. The solutions established by computer
science research fall into two categories: methods that rely on
static information (which is obtained through analysis) and methods
that exploit dynamic information (which is obtained during system
execution).
Use of static
information enables the system to make decision off-line or ahead
of time (and costs associated with analysis and decision making
are paid for only once). Dynamic methods may be able to exploit
information that can never be obtained statically but raise new
issues: What information should be gathered at run-time, and how
can we ensure that the cost of information collection is less than
the benefits that can be realized?
Current
Projects
| Compiling
modern object-oriented languages like Java that support threads
creates many interesting questions. We are investigating compilation
for real-time environments and the interface between the compiler
and the runtime system. More... |
Real-time
compilers
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| Self-organized
mobile information and communication systems (MICS)
is the topic of a new inter-institutional research center funded
by the Swiss National Science Foundation. In collaboration with
the Information and Communication Systems Research Group at
ETH Zürich, we investigate a suitable software architecture
that supports self-organization. More... |
Mobile
Information and
Communication Systems
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| The HESSI
Experimental Data Center (HEDC)
is a scientific data warehouse. HEDC is a joint project with
the Institute of
Astronomy and the Information
and Communication Systems Research Group at ETH Zürich.
A scientific data warehouse requires a software organization
that meets the conflicting demands of scalability, performance,
and support for software evolution. |
HESSI
Experimental Data Center
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The adaptive
TreadMarks
project investigates how to provide a software shared memory
system using a time-varying number of workstations.
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TreadMarks
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